No more typing reviews! Try our Samantha, our new voice AI agent.

Databricks vs Jedox comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
93
Ranking in other categories
Cloud Data Warehouse (4th), Data Science Platforms (1st), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)
Jedox
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Business Performance Management (14th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 10.2%, up 9.0% compared to last year.
Jedox, on the other hand, focuses on Business Performance Management, holds 3.5% mindshare, down 5.0% since last year.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Databricks10.2%
Snowflake14.9%
Teradata8.8%
Other66.1%
Cloud Data Warehouse
Business Performance Management Mindshare Distribution
ProductMindshare (%)
Jedox3.5%
Anaplan6.8%
Adaptive Insights5.0%
Other84.7%
Business Performance Management
 

Featured Reviews

SimonRobinson - PeerSpot reviewer
Governance And Engagement Lead
Improved data governance has enabled sensitive data tracking but cost management still needs work
I believe we could improve Databricks integration with cloud service providers. The impact of our current integration has not been particularly good, and it's becoming very expensive for us. The inefficiencies in our implementation, such as not shutting down warehouses when they're not in use or reserving the right number of credits, have led to increased costs. We made several beginner mistakes, such as not taking advantage of incremental loading and running overly complicated queries all the time. We should be using ETL tools to help us instead of doing it directly in Databricks. We need more experienced professionals to manage Databricks effectively, as it's not as forgiving as other platforms such as Snowflake. I think introducing customer repositories would facilitate easier implementation with Databricks.
Riyaz Halani - PeerSpot reviewer
Financial Controller at Zalando SE
Powerful BI tool for analyzing financial performance and stable performance
I would rate the scalability of Jedox a seven out of ten. There is room for improvement in the scalability. It is a very massive tool. It's not easy to just build everything yourself. So that's where the main improvements lie—making it easy for people to not depend on just technical finance teams. There are almost 50 to 60 users using Jedox in our organization.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Databricks is a unified solution that we can use for streaming. It is supporting open source languages, which are cloud-agnostic. When I do database coding if any other tool has a similar language pack to Excel or SQL, I can use the same knowledge, limiting the need to learn new things. It supports a lot of Python libraries where I can use some very easily."
"The solution is very easy to use."
"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"The ease of use and its accessibility are valuable."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"The capability of the product is quite good and we are very satisfied with it overall."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"The data entry point is most valuable. The way we can customize our report or do data entry is very good."
"We use the tool for performance management and planning."
"The customer porting is the most valuable feature."
"The ETL function simplifies many tasks."
"We can configure and have complete freedom while creating solutions."
"The data entry point is most valuable, and the way we can customize our report or do data entry is very good."
"The ETL itself was pretty useful and it's integrated in the tenant itself. So the Olap service technology was impressive to me. In order to extract that and load it in the tube in the same tenant or the same tool that was something magnificent because I actually missed this in SEB. SEB requires another tool, and you have to integrate all the tools together. But for Jedox, it was in the one tool."
"The EPM is the most valuable feature."
 

Cons

"We'd like a more visual dashboard for analysis It needs better UI."
"It would be very helpful if Databricks could integrate with platforms in addition to Azure."
"The biggest problem associated with the product is that it is quite pricey."
"The data visualization for this solution could be improved. They have started to roll out a data visualization tool inside Databricks but it is in the early stages. It's not comparable to a solution like Power BI, Luca, or Tableau."
"The pricing of Databricks could be cheaper."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"In the next release, I would like to see more optimization features."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"The solution should enable a modern look and feel in the front end."
"I don't find it particularly user-friendly."
"From a development perspective, there's room for improvement in the area called the designer, where you actually build your reports to make it easier to manage the process."
"It is also not that easy as an implementation piece. It takes time to convert the business requirement into the proper solutions in the tool, which is time-consuming."
"There is not much training for Jedox."
"The tool has changed its pricing and it's now too expensive for small and medium organizations. I miss the open-source version which was free and we could do a lot of things with it."
"Visualization is something they need to improve. There should be some dropdown facilities in it like Excel."
"Jedox should improve the design and server issues."
 

Pricing and Cost Advice

"The basic version of this solution is now open-source, so there are no license costs involved. However, there is a charge for any advanced functionality and this can be quite expensive."
"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
"Databricks is a very expensive solution. Pricing is an area that could definitely be improved. They could provide a lower end compute and probably reduce the price."
"It is an expensive tool. The licensing model is a pay-as-you-go one."
"The cost is around $600,000 for 50 users."
"The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."
"Databricks are not costly when compared with other solutions' prices."
"I'm not involved in the financing, but I can say that the solution seemed reasonably priced compared to the competitors. Similar products are usually in the same price range. With five being affordable and one being expensive, I would rate Databricks a four out of five."
"Excellent value for money."
"If you are using SAP, then you will have to take an SAP Connector license. The license across the tool is paying for the people who are using it as an admin or as a normal user. They can work out those costs in a manner that can help. This can also be a point of improvement where they can work out the costing, and the developers have a specific licensing cost. The normal users, who are going to do probably data entry or just going to view the dashboard, can have a separate license cost."
"The solution's pricing is specific to your requirements."
"We paid a one-time fee, which included product purchase, licensing, and first-time implementation. We are paying for the maintenance regularly."
"Jedox was a bit cheaper compared to Calumo."
"The product’s pricing will not be suitable for setting up a small solution."
report
Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
895,272 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
7%
Healthcare Company
5%
Comms Service Provider
12%
Computer Software Company
9%
Aerospace/Defense Firm
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise12
Large Enterprise57
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise3
Large Enterprise4
 

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...
How would you compare Databricks vs Amazon SageMaker?
We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...
Which would you choose - Databricks or Azure Stream Analytics?
Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...
Ask a question
Earn 20 points
 

Comparisons

 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
Jedox EPM
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
BP, Fiat, Carrefour, Continental, Allianz, Bacardi, McDonald’s, Netafim, Swiss Post, Telstra, Suzuki, Vodafone, University of Western Australia, Unilever
Find out what your peers are saying about Snowflake Computing, Teradata, Google and others in Cloud Data Warehouse. Updated: May 2026.
895,272 professionals have used our research since 2012.